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A genomic and transcriptomic approach for a differential diagnosis between primary and secondary ovarian carcinomas in patients with a previous history of breast cancer
BACKGROUND: The distinction between primary and secondary ovarian tumors may be challenging for pathologists. The purpose of the present work was to develop genomic and transcriptomic tools to further refine the pathological diagnosis of ovarian tumors after a previous history of breast cancer. METH...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2891634/ https://www.ncbi.nlm.nih.gov/pubmed/20492709 http://dx.doi.org/10.1186/1471-2407-10-222 |
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author | Meyniel, Jean-Philippe Cottu, Paul H Decraene, Charles Stern, Marc-Henri Couturier, Jérôme Lebigot, Ingrid Nicolas, André Weber, Nina Fourchotte, Virginie Alran, Séverine Rapinat, Audrey Gentien, David Roman-Roman, Sergio Mignot, Laurent Sastre-Garau, Xavier |
author_facet | Meyniel, Jean-Philippe Cottu, Paul H Decraene, Charles Stern, Marc-Henri Couturier, Jérôme Lebigot, Ingrid Nicolas, André Weber, Nina Fourchotte, Virginie Alran, Séverine Rapinat, Audrey Gentien, David Roman-Roman, Sergio Mignot, Laurent Sastre-Garau, Xavier |
author_sort | Meyniel, Jean-Philippe |
collection | PubMed |
description | BACKGROUND: The distinction between primary and secondary ovarian tumors may be challenging for pathologists. The purpose of the present work was to develop genomic and transcriptomic tools to further refine the pathological diagnosis of ovarian tumors after a previous history of breast cancer. METHODS: Sixteen paired breast-ovary tumors from patients with a former diagnosis of breast cancer were collected. The genomic profiles of paired tumors were analyzed using the Affymetrix GeneChip(® )Mapping 50 K Xba Array or Genome-Wide Human SNP Array 6.0 (for one pair), and the data were normalized with ITALICS (ITerative and Alternative normaLIzation and Copy number calling for affymetrix Snp arrays) algorithm or Partek Genomic Suite, respectively. The transcriptome of paired samples was analyzed using Affymetrix GeneChip(® )Human Genome U133 Plus 2.0 Arrays, and the data were normalized with gc-Robust Multi-array Average (gcRMA) algorithm. A hierarchical clustering of these samples was performed, combined with a dataset of well-identified primary and secondary ovarian tumors. RESULTS: In 12 of the 16 paired tumors analyzed, the comparison of genomic profiles confirmed the pathological diagnosis of primary ovarian tumor (n = 5) or metastasis of breast cancer (n = 7). Among four cases with uncertain pathological diagnosis, genomic profiles were clearly distinct between the ovarian and breast tumors in two pairs, thus indicating primary ovarian carcinomas, and showed common patterns in the two others, indicating metastases from breast cancer. In all pairs, the result of the transcriptomic analysis was concordant with that of the genomic analysis. CONCLUSIONS: In patients with ovarian carcinoma and a previous history of breast cancer, SNP array analysis can be used to distinguish primary and secondary ovarian tumors. Transcriptomic analysis may be used when primary breast tissue specimen is not available. |
format | Text |
id | pubmed-2891634 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28916342010-06-25 A genomic and transcriptomic approach for a differential diagnosis between primary and secondary ovarian carcinomas in patients with a previous history of breast cancer Meyniel, Jean-Philippe Cottu, Paul H Decraene, Charles Stern, Marc-Henri Couturier, Jérôme Lebigot, Ingrid Nicolas, André Weber, Nina Fourchotte, Virginie Alran, Séverine Rapinat, Audrey Gentien, David Roman-Roman, Sergio Mignot, Laurent Sastre-Garau, Xavier BMC Cancer Research Article BACKGROUND: The distinction between primary and secondary ovarian tumors may be challenging for pathologists. The purpose of the present work was to develop genomic and transcriptomic tools to further refine the pathological diagnosis of ovarian tumors after a previous history of breast cancer. METHODS: Sixteen paired breast-ovary tumors from patients with a former diagnosis of breast cancer were collected. The genomic profiles of paired tumors were analyzed using the Affymetrix GeneChip(® )Mapping 50 K Xba Array or Genome-Wide Human SNP Array 6.0 (for one pair), and the data were normalized with ITALICS (ITerative and Alternative normaLIzation and Copy number calling for affymetrix Snp arrays) algorithm or Partek Genomic Suite, respectively. The transcriptome of paired samples was analyzed using Affymetrix GeneChip(® )Human Genome U133 Plus 2.0 Arrays, and the data were normalized with gc-Robust Multi-array Average (gcRMA) algorithm. A hierarchical clustering of these samples was performed, combined with a dataset of well-identified primary and secondary ovarian tumors. RESULTS: In 12 of the 16 paired tumors analyzed, the comparison of genomic profiles confirmed the pathological diagnosis of primary ovarian tumor (n = 5) or metastasis of breast cancer (n = 7). Among four cases with uncertain pathological diagnosis, genomic profiles were clearly distinct between the ovarian and breast tumors in two pairs, thus indicating primary ovarian carcinomas, and showed common patterns in the two others, indicating metastases from breast cancer. In all pairs, the result of the transcriptomic analysis was concordant with that of the genomic analysis. CONCLUSIONS: In patients with ovarian carcinoma and a previous history of breast cancer, SNP array analysis can be used to distinguish primary and secondary ovarian tumors. Transcriptomic analysis may be used when primary breast tissue specimen is not available. BioMed Central 2010-05-21 /pmc/articles/PMC2891634/ /pubmed/20492709 http://dx.doi.org/10.1186/1471-2407-10-222 Text en Copyright ©2010 Meyniel et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Meyniel, Jean-Philippe Cottu, Paul H Decraene, Charles Stern, Marc-Henri Couturier, Jérôme Lebigot, Ingrid Nicolas, André Weber, Nina Fourchotte, Virginie Alran, Séverine Rapinat, Audrey Gentien, David Roman-Roman, Sergio Mignot, Laurent Sastre-Garau, Xavier A genomic and transcriptomic approach for a differential diagnosis between primary and secondary ovarian carcinomas in patients with a previous history of breast cancer |
title | A genomic and transcriptomic approach for a differential diagnosis between primary and secondary ovarian carcinomas in patients with a previous history of breast cancer |
title_full | A genomic and transcriptomic approach for a differential diagnosis between primary and secondary ovarian carcinomas in patients with a previous history of breast cancer |
title_fullStr | A genomic and transcriptomic approach for a differential diagnosis between primary and secondary ovarian carcinomas in patients with a previous history of breast cancer |
title_full_unstemmed | A genomic and transcriptomic approach for a differential diagnosis between primary and secondary ovarian carcinomas in patients with a previous history of breast cancer |
title_short | A genomic and transcriptomic approach for a differential diagnosis between primary and secondary ovarian carcinomas in patients with a previous history of breast cancer |
title_sort | genomic and transcriptomic approach for a differential diagnosis between primary and secondary ovarian carcinomas in patients with a previous history of breast cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2891634/ https://www.ncbi.nlm.nih.gov/pubmed/20492709 http://dx.doi.org/10.1186/1471-2407-10-222 |
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